Senior Site Reliability Engineer, HPC and LSF at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Datacenter, HPCIndustries

Requirements

Extensive knowledge with job scheduler administration (e.g. IBM Spectrum LSF or SLURM)
Proficient in administering Centos/RHEL Linux distributions
In depth understanding of container technologies like Docker
Proficiency in UNIX scripting languages and Python
Excellent problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions
Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals
5+ years experience in a large, distributed Linux environment
BS in Computer Science, similar degree or equivalent experience

Responsibilities

Manage and support workload and resource schedulers in a large-scale HPC environment
Automate Everything: Develop automation scripts to automate deployment, configuration management, and operational monitoring
Develop solutions for complex computing resource management requirements
Extract and leverage grid performance metrics for troubleshooting and performance optimization
Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency
Develop, define and document standard methodologies to share with internal teams
Collaborate with domain experts to improve how our chip development process utilizes our infrastructure
Directly contribute to the overall quality and improve time to market for our next generation chips

Skills

Key technologies and capabilities for this role

HPCLSFWorkload SchedulersResource SchedulersAutomation ScriptingConfiguration ManagementOperational MonitoringPerformance OptimizationTroubleshootingBare Metal

Questions & Answers

Common questions about this position

What experience is required for the Senior Site Reliability Engineer role?

Candidates need 5+ years experience in a large, distributed Linux environment, extensive knowledge with job scheduler administration like IBM Spectrum LSF or SLURM, proficiency in administering Centos/RHEL Linux, in-depth understanding of container technologies like Docker, and proficiency in UNIX scripting languages and Python.

What are the key responsibilities of this position?

Responsibilities include managing workload and resource schedulers in large-scale HPC environments, developing automation scripts for deployment and monitoring, troubleshooting from bare metal to application level, and collaborating with teams to improve chip development processes.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require on-site work?

This information is not specified in the job description.

What does the SRE culture at NVIDIA emphasize?

The SRE culture emphasizes diversity, intellectual curiosity, problem solving, openness, blameless postmortems, proactive outage identification, and limiting reactive operational work for iterative improvements.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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